Engineering Analyst Trust and Safety
@ Google

Seattle, WA
$180,000
On Site
Full Time
Posted 23 days ago

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Job Details

Job Overview

Google is seeking an Engineering Analyst Trust and Safety to analyze data, prevent fraud, and support the safety and integrity of its products. You will work with global teams on high-impact projects and contribute to fighting abuse across Google products.

Responsibilities

  • Analyze and solve problems using data and statistical methods.
  • Identify and prevent fraud and abuse.
  • Improve tools and automated systems through technical expertise and data analysis.
  • Review sensitive content as part of the role.
  • Perform on-call responsibilities on a rotating basis including weekends and holidays.

Qualifications

Minimum qualifications: Bachelor's degree or equivalent practical experience, 5 years of experience in data analysis, and 5 years of experience managing projects.

Preferred qualifications: Experience with AI risks, cyber misuse, statistical analysis, Python or similar scripting languages, and excellent communication skills.

About the Team

The Trust and Safety team at Google works to protect users and partners from abuse across products like Search, Maps, Gmail, and Google Ads. This strategic role involves working globally and cross-functionally to identify and counter fraud and abuse, ensuring the highest levels of user safety.

Key skills/competency

  • Data Analysis
  • Fraud Prevention
  • Statistical Methods
  • Project Management
  • Python
  • AI Risks
  • Automation
  • Trust and Safety
  • Communication
  • Problem-Solving

How to Get Hired at Google

🎯 Tips for Getting Hired

  • Customize your resume: Highlight relevant data analysis and project management experience.
  • Research Google: Understand their products, culture, and mission.
  • Prepare examples: Showcase experience handling sensitive and high-stakes projects.
  • Practice technical skills: Refine Python and statistical analysis knowledge.

📝 Interview Preparation Advice

Technical Preparation

Review Python scripting techniques.
Practice statistical analysis exercises.
Study data trend identification methods.
Refine skills in automated systems analysis.

Behavioral Questions

Describe time you solved complex problems.
Explain handling cross-functional team conflicts.
Share experience with fast-paced changes.
Discuss managing multiple project deadlines.

Frequently Asked Questions